Reasoning and Data Representation in a Health and Lifestyle Support System

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dc.cclicenceN/Aen
dc.contributor.authorHanke, S.en
dc.contributor.authorKreiner, K.en
dc.contributor.authorKropf, J.en
dc.contributor.authorScase, M. O.en
dc.contributor.authorGossy, C.en
dc.date.acceptance2017-01-27en
dc.date.accessioned2017-05-03T10:53:24Z
dc.date.available2017-05-03T10:53:24Z
dc.date.issued2017-04
dc.description.abstractCase-based reasoning and data interpretation is an artificial intelligence approach that capitalizes on past experience to solve current problems and this can be used as a method for practical intelligent systems. Case-based data reasoning is able to provide decision support for experts and clinicians in health systems as well as lifestyle systems. In this project we were focusing on developing a solution for healthy ageing considering daily activities, nutrition as well as cognitive activities. The data analysis of the reasoner followed state of the art guidelines from clinical practice. Guidelines provide a general framework to guide clinicians, and require consequent background knowledge to become operational, which is precisely the kind of information recorded in practice cases; cases complement guidelines very well and helps to interpret them. It is expected that the interest in case-based reasoning systems in the health.en
dc.funderEUen
dc.identifier.citationHanke, S., Kreiner, K., Kropf, J., Scase, M., and Gossy, C. (2017) Reasoning and Data Representation in a Health and Lifestyle Support System. In: Informatics for Health: Connected Citizen-Led Wellness and Population Health (edited by R. Randell, R. Cornett, C. McGowen, N. Peek and P.J. Scott). Studies in Health Technology and Informatics, 235, pp. 8-12.en
dc.identifier.doihttps://doi.org/10.3233/978-1-61499-753-5-8
dc.identifier.isbn9781614997535
dc.identifier.urihttp://hdl.handle.net/2086/14135
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidEU Framework 7 DOREMI project, Grant agreement - 611650en
dc.publisherEuropean Federation for Medical Informatics (EFMI) and IOS Pressen
dc.researchinstituteInstitute for Psychological Scienceen
dc.subjecthealth support systemen
dc.subjectdata reasoningen
dc.subjectdata representationen
dc.subjecthealth and lifestyle data infrastructureen
dc.titleReasoning and Data Representation in a Health and Lifestyle Support Systemen
dc.typeBook chapteren

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